- 1Universidad de Castilla-La Mancha, Ingeniería Geológica y Minera, Toledo, Spain (josemaria.bodoque@uclm.es)
- 2Department of Business Administration, Faculty of Social Sciences, University of Castilla-La Mancha, Spain
This research examines the relationships between vulnerability and resilience concerning flash flood risk in the Castilla y León region (Spain). The study compares vulnerability and resilience indices and investigates the relationships between their elements and flash flood risk variables. It discusses the necessity of enhancing vulnerability and resilience evaluations by integrating diverse aspects, encompassing social, economic, ecosystem, physical, institutional, and cultural dimensions. The methodology incorporates statistical and spatial approaches, such as Spearman correlation, bivariate choropleth maps, and regression models. The study reveals that vulnerability and resilience are related but represent distinct constructs. Despite a weak correlation between the vulnerability and resilience indices (r = 0.06), significant correlations exist among various elements within these indices. This underscores the need for a multidimensional approach that combines theoretical frameworks with practical implementation, providing insights for policy makers and guiding future research efforts. For example, the resilience index and the vulnerability index's exposure component are strongly correlated (r = 0.40). The spatial relationships are more evident between the vulnerability and resilience indices, with a local R2 of 0.74 between the resilience index and the different dimensions within the vulnerability index. The study also finds significant correlations between specific vulnerability elements and flash flood risk variables, particularly in the exposure component (r = 0.59 for the population at risk) and the institutional dimension (r = -0.48 for the total flood indemnities provided by the insurance company). Notably, the vulnerability and resilience indices show a strong spatial relationship with critical infrastructure at risk, with a local R2 of 0.85. This research highlights the need for more research to improve vulnerability and resilience assessments and tailor them to specific local contexts. This underscores the need for a multidimensional approach that combines theoretical frameworks with practical implementation, providing insights for policy makers and guiding future research efforts.
How to cite: Bodoque, J. M., Aroca, E., and García, J. A.: Comparative Analysis of Flash Flood Vulnerability and Resilience through Multidimensional Indices, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-18771, https://doi.org/10.5194/egusphere-egu25-18771, 2025.